Run: 2026-07-25-01KYCSD4SSDB4077CV78AR5Y68

Run Details

Duration:
8.4s
Cost:
$0.004515
Provider:
DeepInfra

Model input

System
You are an expert fiction writer. Always keep the following rules in mind: - Write in past tense and use General English spelling, grammar, and colloquialisms/slang. - Write in active voice - Always follow the "show, don't tell" principle. - Avoid adverbs and cliches and overused/commonly used phrases. Aim for fresh and original descriptions. - Convey events and story through dialogue. - Mix short, punchy sentences with long, descriptive ones. Drop fill words to add variety. - Skip "he/she said said" dialogue tags and convey people's actions or face expressions through their speech - Avoid mushy dialog and descriptions, have dialogue always continue the action, never stall or add unnecessary fluff. Vary the descriptions to not repeat yourself. - Put dialogue on its own paragraph to separate scene and action. - Reduce indicators of uncertainty like "trying" or "maybe" When writing text: - NEVER conclude the scene on your own, follow the beat instructions very closely. - NEVER end with foreshadowing. - NEVER write further than what I prompt you with. - AVOID imagining possible endings, NEVER deviate from the instructions. - STOP EARLY if the continuation contains what was required in the instructions. You do not need to fill out the full amount of words possible.
User/Human
Take into account the following glossary of characters/locations/items/lore... when writing your response: <codex> <character id="4416" name="Detective Harlow Quinn" aliases="Quinn, Detective Quinn, Harlow" pronouns="she/her" species="Human" storyRole="Antagonist"> <eyeColor>brown</eyeColor> <hair>closely cropped salt-and-pepper</hair> <height>5'9"</height> <age>41</age> <jawline>sharp jaw</jawline> <watch>worn leather watch on her left wrist</watch> <bearing>military precision</bearing> <description>A Metropolitan Police detective with 18 years of decorated service who suspects the clique is involved in criminal activity.</description> <backstory>She lost her partner, DS Morris, during a case three years ago under unexplained circumstances that had supernatural origins she doesn't yet understand.</backstory> </character> <character id="4417" name="Tomás Herrera" aliases="Tommy, Tomás, Herrera" pronouns="he/him" species="Human" storyRole="Support"> <eyeColor>warm brown</eyeColor> <hair>short curly dark brown</hair> <height>5'10"</height> <age>29</age> <skinTone>olive skin</skinTone> <scar>scar running along his left forearm from a knife attack</scar> <medallion>Saint Christopher medallion around his neck</medallion> <birthplace>Seville, Spain</birthplace> <description>A former paramedic who provides off-the-books medical care for the clique.</description> <backstory>Born in Seville, Spain. He moved to London to work for the NHS but lost his license after administering unauthorized treatments to supernatural patients.</backstory> </character> <location id="854" name="The Raven's Nest" aliases="the Nest, Raven, Silas' bar" realm="Earth"> <signColor>distinctive green neon sign above the entrance</signColor> <secretRoom>hidden back room accessible through a bookshelf, used for clandestine meetings</secretRoom> <description>A dimly lit bar in Soho, London. The walls are covered with old maps and black-and-white photographs.</description> </location> <location id="856" name="The Veil Market" aliases="Veil Market, the Market, underground market" realm="Earth"> <currentLocation>abandoned Tube station beneath Camden</currentLocation> <entryRequirement>bone token</entryRequirement> <schedule>moves locations every full moon</schedule> <description>A hidden supernatural black market that sells enchanted goods, banned alchemical substances, and information.</description> </location> </codex> Continue the story using the following instructions: <instructions> Write a fully fleshed out scene of at least 1000 words in the thriller genre. A detective is pursuing a suspect through rain-soaked city streets at night. The chase takes them from the street level down into an underground market. The detective must decide whether to follow the suspect into unfamiliar and potentially dangerous territory. Use the codex entries above as your world reference for characters and setting. Only include the prose of the scene without any markdown or commentary. </instructions>

Model response

AI
Quinn's boots struck the wet pavement with the rhythm of a clock running out. Rain sliced sideways through the neon, turning the Soho alley into a sheet of black glass. She kept her eyes on the runner's dark silhouette, the leather strap of her watch biting against her wrist. The suspect turned into a narrow passage behind a burnt-out bookshop. Quinn followed. Her sharp jaw set against the cold. Three years had passed since DS Morris disappeared, and every shadowed corner felt like the same unanswered question. "Hold up!" Her voice cracked through the downpour. The runner glanced back. A young man in a torn coat, face pale, eyes wide with something sharper than fear. He slipped through a rusted gate and vanished. Quinn reached the gate. Beyond it, stone steps descended into darkness. She paused. Her breath came hard. The air smelled of iron and old smoke. She took the steps. The descent landed her in an abandoned Tube station beneath Camden. The Veil Market spread before her like a wound that refused to close. Bone tokens clinked against belts at the entrance. Quinn touched the worn leather of her watch, then stepped through. No token. Only the weight of her service revolver and eighteen years of decorated suspicion. Stalls lined the curved platform. Enchanted goods glowed in jars. Banned alchemical substances hissed in copper vats. Information sold in sealed envelopes, traded like blood. Quinn pressed herself against a pillar covered in fossilised posters. She scanned the crowd. Faces half-hidden by hoods. Voices low, bargaining in languages she did not recognise. Then she saw him. The runner. He weaved through a cluster of figures near a stall draped in black silk. A merchant with silver teeth watched her with flat interest. Quinn moved. Each step deliberate. Military precision in her posture, though rain still soaked her coat and her brown eyes narrowed against the false light. The runner ducked behind a curtain of hanging chains. Quinn followed. The space beyond held no stall, no merchant. Only a corridor that smelled of salt and burnt sugar. Her hand rested on her holster. She thought of Morris. The unexplained circumstances. The supernatural origins she had not yet understood. This market thrummed with exactly that kind of hidden rot. The corridor ended at a narrow archway. Through it, voices echoed. Quinn stepped into the arch. Inside sat The Raven's Nest, or its hollow imitation. Not the Soho bar with its green neon sign and black-and-white walls, but a subterranean mirror of it. Old maps pinned to damp brick. A bookshelf at the far end, slightly ajar. The runner had disappeared through that bookshelf. Quinn crossed the room. Her boots silent on the wet floor. She reached the shelf and pushed. It swung open. Behind it, a hidden back room glowed with single candlelight. She entered. The room smelled of wax and old paper. The runner sat on a wooden chair, head in his hands. A Saint Christopher medallion gleamed at his neck against olive skin. He looked up. Warm brown eyes, wide with exhaustion. "You're not one of them," he said. His voice carried the trace of Seville. "I'm the one who followed you through the rain." Quinn kept her distance. Her sharp jaw remained set. "You ran from a crime scene." "I ran from what killed my brother." He stood, slow. His left forearm bore a long scar from a knife attack, raised now like a flag of surrender. "I'm Tomás Herrera. Former paramedic. I provide care for people this world pretends don't exist." Quinn studied him. The medallion. The scar. The truth in his posture. "You lost your license," she said. "Unapproved treatments." "I saved lives." His hands trembled. "Then I lost it all." Quinn glanced back at the arch. The market roared beyond, indifferent. She made her decision. She stepped deeper into the hidden back room and shut the shelf behind her. Outside, the Veil Market moved every full moon. Inside this room, she chose to stay. Unfamiliar territory, dangerous, yes. But the chase led here for a reason. She did not lower her weapon. But she listened.<|end_message|>
created_at"2026-07-25T14:03:30.191Z" 7/25/2026, 2:03:30 PM
model"thinkingmachines/inkling-20260715"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency731
moderation_latency(null)
generation_time7560
tokens_prompt1104
tokens_completion1048
native_tokens_prompt992
native_tokens_completion883
native_tokens_completion_images(null)
native_tokens_reasoning0
native_tokens_cached64
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
service_tier(null)
usage0.00451503
router(null)
provider_responses
0
endpoint_id"d6b9d68e-115a-49d7-81cd-1ad1c6942b0e"
id"chatcmpl-RjLTm1Kutf34cK6jZpPXVvc3"
is_byokfalse
latency218
model_permaslug"thinkingmachines/inkling-20260715"
provider_name"DeepInfra"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer(null)
request_id"req-1784988210-JMHhN5GMaNsyFjCKtbVD"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1784988210-RfTZQPbZQiNZZAkhVGdJ"
upstream_id"chatcmpl-RjLTm1Kutf34cK6jZpPXVvc3"
total_cost0.00451503
cache_discount0.00005312
upstream_inference_cost0
provider_name"DeepInfra"
response_cache_source_id(null)
data_region"global"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags6
adverbTagCount0
adverbTags(empty)
dialogueSentences10
tagDensity0.6
leniency1
rawRatio0
effectiveRatio0
92.74% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount689
totalAiIsmAdverbs1
found
0
adverb"slightly"
count1
highlights
0"slightly"
100.00% AI-ism character names
Target: 0 AI-default names (17 tracked, −20% each)
codexExemptions(empty)
found(empty)
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
63.72% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount689
totalAiIsms5
found
0
word"weight"
count1
1
word"scanned"
count1
2
word"silk"
count1
3
word"echoed"
count1
4
word"trembled"
count1
highlights
0"weight"
1"scanned"
2"silk"
3"echoed"
4"trembled"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"eyes widened/narrowed"
count1
highlights
0"eyes narrowed"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences88
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences88
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences92
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen20
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords689
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions2
unquotedAttributions0
matches(empty)
54.91% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions27
wordCount631
uniqueNames12
maxNameDensity1.9
worstName"Quinn"
maxWindowNameDensity2.5
worstWindowName"Quinn"
discoveredNames
Soho2
Morris2
Tube1
Camden1
Veil2
Market2
Raven1
Nest1
Saint1
Christopher1
Seville1
Quinn12
persons
0"Morris"
1"Market"
2"Raven"
3"Saint"
4"Christopher"
5"Quinn"
places
0"Soho"
1"Veil"
2"Seville"
globalScore0.549
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences50
glossingSentenceCount1
matches
0"felt like the same unanswered question"
54.86% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords1.451
wordCount689
matches
0"Not the Soho bar with its green neon sign and black-and-white walls, but a subterranean mirror of it"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences92
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs35
mean19.69
std12.67
cv0.644
sampleLengths
049
138
28
328
425
54
624
734
825
927
1030
1125
129
132
1424
1525
1611
175
1841
197
2017
2113
222
2339
2414
2524
2643
2712
288
2911
3011
314
3214
3327
349
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences88
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs107
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences92
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount635
adjectiveStacks0
stackExamples(empty)
adverbCount14
adverbRatio0.02204724409448819
lyAdverbCount4
lyAdverbRatio0.006299212598425197
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences92
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences92
mean7.49
std4.4
cv0.588
sampleLengths
014
116
219
311
42
57
618
78
84
916
108
114
127
132
144
158
164
1711
1813
198
2011
212
2213
235
245
257
268
2710
284
294
309
314
322
3314
3410
352
363
3720
389
392
408
4110
426
434
443
458
4610
477
484
495
60.51% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats6
diversityRatio0.40217391304347827
totalSentences92
uniqueOpeners37
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences77
matches
0"Only the weight of her"
1"Then she saw him."
2"Only a corridor that smelled"
ratio0.039
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount22
totalSentences77
matches
0"She kept her eyes on"
1"Her sharp jaw set against"
2"Her voice cracked through the"
3"He slipped through a rusted"
4"Her breath came hard."
5"She took the steps."
6"She scanned the crowd."
7"He weaved through a cluster"
8"Her hand rested on her"
9"She thought of Morris."
10"Her boots silent on the"
11"She reached the shelf and"
12"It swung open."
13"He looked up."
14"His voice carried the trace"
15"Her sharp jaw remained set."
16"He stood, slow"
17"His left forearm bore a"
18"His hands trembled"
19"She made her decision."
ratio0.286
76.88% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount59
totalSentences77
matches
0"Quinn's boots struck the wet"
1"Rain sliced sideways through the"
2"She kept her eyes on"
3"The suspect turned into a"
4"Her sharp jaw set against"
5"Her voice cracked through the"
6"The runner glanced back."
7"A young man in a"
8"He slipped through a rusted"
9"Quinn reached the gate."
10"Her breath came hard."
11"The air smelled of iron"
12"She took the steps."
13"The descent landed her in"
14"The Veil Market spread before"
15"Bone tokens clinked against belts"
16"Quinn touched the worn leather"
17"Stalls lined the curved platform."
18"Information sold in sealed envelopes,"
19"Quinn pressed herself against a"
ratio0.766
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences77
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences22
technicalSentenceCount0
matches(empty)
41.67% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags6
uselessAdditionCount1
matches
0"He stood, slow"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount0
fancyTags(empty)
dialogueSentences10
tagDensity0.2
leniency0.4
rawRatio0
effectiveRatio0
88.1764%